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---
license: apache-2.0
language:
- en
- ja
programming_language:
- C
- C++
- C#
- Go
- Java
- JavaScript
- Lua
- PHP
- Python
- Ruby
- Rust
- Scala
- TypeScript
pipeline_tag: text-generation
library_name: transformers
inference: false
tags:
- mlx
base_model: llm-jp/llm-jp-3-13b
---
# niryuu/llm-jp-3-13b-instruct-test
The Model [niryuu/llm-jp-3-13b-instruct-test](https://huggingface.co/niryuu/llm-jp-3-13b-instruct-test) was converted to MLX format from [llm-jp/llm-jp-3-13b](https://huggingface.co/llm-jp/llm-jp-3-13b) using mlx-lm version **0.19.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("niryuu/llm-jp-3-13b-instruct-test")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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